Information-based syntax and semantics: Vol. 1: fundamentals
Information-based syntax and semantics: Vol. 1: fundamentals
C4.5: programs for machine learning
C4.5: programs for machine learning
Structural ambiguity and lexical relations
Computational Linguistics - Special issue on using large corpora: I
Building a large annotated corpus of English: the penn treebank
Computational Linguistics - Special issue on using large corpora: II
A generative perspective on verb alternations
Computational Linguistics - Special issue on natural language generation
Supertagging: an approach to almost parsing
Computational Linguistics
A maximum entropy model for prepositional phrase attachment
HLT '94 Proceedings of the workshop on Human Language Technology
Generalised PP-attachment disambiguation using corpus-based linguistic diagnostics
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Learning argument/adjunct distinction for Basque
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
The Notion of Argument in Prepositional Phrase Attachment
Computational Linguistics
Automated extraction of Tree-Adjoining Grammars from treebanks
Natural Language Engineering
Finding predominant word senses in untagged text
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Learning Greek verb complements: addressing the class imbalance
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Learning verb complements for modern greek: Balancing the noisy dataset
Natural Language Engineering
The effect of borderline examples on language learning
Journal of Experimental & Theoretical Artificial Intelligence
TextWiki: a superlative resource
Language Resources and Evaluation
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The automatic distinction of arguments and modifiers is a necessary step for the automatic acquisition of subcategorisation frames and argument structure. In this work, we report on supervised learning experiments to learn this distinction for the difficult case of prepositional phrases attached to the verb. We develop statistical indicators of linguistic diagnostics for argumenthood, and we approximate them with counts extracted from an annotated corpus. We reach an accuracy of 86.5%, over a baseline of 74%, showing that this novel method is promising in solving this difficult problem.